{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "import numpy as np\n",
    "import os, sys\n",
    "sys.path.insert(0, os.path.abspath(os.path.join(os.getcwd(), '..'))) # To import keras_squeezenet.\n",
    "from keras_squeezenet import SqueezeNet\n",
    "from keras.applications.imagenet_utils import preprocess_input, decode_predictions\n",
    "from keras.preprocessing import image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import keras.backend as K\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img = image.load_img('../images/cat.jpeg', target_size=(227, 227))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f416bb4b2d0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kR6K+ikp+t+ayr/UGfr3757X4M1/P99wLCCGejDF+6I1e944gL70Wwtwtb63h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RTq/X41vf/i6/+Y9+l4+//R1y0ZBXPkUd0R9ZvHj1jDD0iaKMuoQvn72kBRRT5vXpOS9Pb/DD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\n4SU2QWHDhg0v8X8A7HQhFt/eGSIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f416a8489d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's check out this nice lookin' cat!\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = image.img_to_array(img)\n",
    "x = np.expand_dims(x, axis=0)\n",
    "x = preprocess_input(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Randomly initialized weights</h1>\n",
    "<p>The weights should look random, and it should not be able to predict the correct class.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Get weights that are not trained (i.e., randomly initialized)\n",
    "model = SqueezeNet(weights=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 3, 3, 64)\n"
     ]
    },
    {
     "data": {
      "image/png": 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+SblNtPDXycreeVGnP9iif52ZSx8H/g7o1FNF45kLNWLAxGRl1uzAOBdOcSps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\nIiIiIqX8H0FwkPihOHRwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f43ac380790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "W = K.eval(model.weights[0])\n",
    "print(W.shape)\n",
    "plt.figure(figsize=(18,12))\n",
    "for idx in range(W.shape[-1]):\n",
    "    plt.subplot(8,8,idx+1)\n",
    "    plt.imshow(W[:,:,:,idx]); plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Predicted:', [[(u'n02110185', u'Siberian_husky', 0.0010239105), (u'n01910747', u'jellyfish', 0.0010204196), (u'n02486410', u'baboon', 0.0010175246), (u'n02643566', u'lionfish', 0.0010172399), (u'n02093754', u'Border_terrier', 0.0010149083)]])\n"
     ]
    }
   ],
   "source": [
    "preds = model.predict(x)\n",
    "print('Predicted:', decode_predictions(preds))\n",
    "# These predictions should look random (since the network is not trained)!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Weights pretrained over ImageNet</h1>\n",
    "<p>Check to make sure we can get the pretrained weights. The weights should have some structure, and the classification should be pretty good, since the model is already trained.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Get weights that are trained over ImageNet.\n",
    "model = SqueezeNet(weights='imagenet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 3, 3, 64)\n"
     ]
    },
    {
     "data": {
      "image/png": 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gwTg8d2P/s5vdWHVHkmKnOOI/0uSZ3HnLLF/Es4EBciIazNbnrciCvdLYVYvX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\njfUB1z8Kr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swXtquUS050PO/pA1EgEOzGmErZjzz3c5Vym7z0oJ+olCtjuzuf99DfZTkL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H5AQi/fE5BlR9NJL4a8u/110ImNkps26LfJzkQWb2GMmDADwRsKgSgfb/elMbUDzPAZW7Ey3F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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f43ac38c150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "W = K.eval(model.weights[0])\n",
    "print(W.shape)\n",
    "plt.figure(figsize=(18,12))\n",
    "for idx in range(W.shape[-1]):\n",
    "    plt.subplot(8,8,idx+1)\n",
    "    plt.imshow(W[:,:,:,idx]); plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Predicted:', [[(u'n02123045', u'tabby', 0.82134342), (u'n02124075', u'Egyptian_cat', 0.12180641), (u'n02123159', u'tiger_cat', 0.05682119), (u'n02127052', u'lynx', 2.2597995e-05), (u'n02129604', u'tiger', 5.1768461e-06)]])\n"
     ]
    }
   ],
   "source": [
    "preds = model.predict(x)\n",
    "print('Predicted:', decode_predictions(preds))\n",
    "# Alright! These look good!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Weights for no_top</h1>\n",
    "<p>Here we will save the weights for when include_top is False. We'll do this by popping off the last few layers to get the layers we want.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "input_4 (InputLayer)             (None, 227, 227, 3)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "conv1 (Conv2D)                   (None, 113, 113, 64)  1792                                         \n",
      "____________________________________________________________________________________________________\n",
      "relu_conv1 (Activation)          (None, 113, 113, 64)  0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool1 (MaxPooling2D)             (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/squeeze1x1 (Conv2D)        (None, 56, 56, 16)    1040                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_squeeze1x1 (Activatio (None, 56, 56, 16)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/expand1x1 (Conv2D)         (None, 56, 56, 64)    1088                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/expand3x3 (Conv2D)         (None, 56, 56, 64)    9280                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_expand1x1 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_expand3x3 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/concat (Concatenate)       (None, 56, 56, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/squeeze1x1 (Conv2D)        (None, 56, 56, 16)    2064                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_squeeze1x1 (Activatio (None, 56, 56, 16)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/expand1x1 (Conv2D)         (None, 56, 56, 64)    1088                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/expand3x3 (Conv2D)         (None, 56, 56, 64)    9280                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_expand1x1 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_expand3x3 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/concat (Concatenate)       (None, 56, 56, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool3 (MaxPooling2D)             (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/squeeze1x1 (Conv2D)        (None, 27, 27, 32)    4128                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_squeeze1x1 (Activatio (None, 27, 27, 32)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/expand1x1 (Conv2D)         (None, 27, 27, 128)   4224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire4/expand3x3 (Conv2D)         (None, 27, 27, 128)   36992                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_expand1x1 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_expand3x3 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/concat (Concatenate)       (None, 27, 27, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/squeeze1x1 (Conv2D)        (None, 27, 27, 32)    8224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_squeeze1x1 (Activatio (None, 27, 27, 32)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/expand1x1 (Conv2D)         (None, 27, 27, 128)   4224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire5/expand3x3 (Conv2D)         (None, 27, 27, 128)   36992                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_expand1x1 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_expand3x3 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/concat (Concatenate)       (None, 27, 27, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool5 (MaxPooling2D)             (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/squeeze1x1 (Conv2D)        (None, 13, 13, 48)    12336                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_squeeze1x1 (Activatio (None, 13, 13, 48)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/expand1x1 (Conv2D)         (None, 13, 13, 192)   9408                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire6/expand3x3 (Conv2D)         (None, 13, 13, 192)   83136                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_expand1x1 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_expand3x3 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/concat (Concatenate)       (None, 13, 13, 384)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/squeeze1x1 (Conv2D)        (None, 13, 13, 48)    18480                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_squeeze1x1 (Activatio (None, 13, 13, 48)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/expand1x1 (Conv2D)         (None, 13, 13, 192)   9408                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire7/expand3x3 (Conv2D)         (None, 13, 13, 192)   83136                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_expand1x1 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_expand3x3 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/concat (Concatenate)       (None, 13, 13, 384)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/squeeze1x1 (Conv2D)        (None, 13, 13, 64)    24640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_squeeze1x1 (Activatio (None, 13, 13, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/expand1x1 (Conv2D)         (None, 13, 13, 256)   16640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire8/expand3x3 (Conv2D)         (None, 13, 13, 256)   147712                                       \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_expand1x1 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_expand3x3 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/concat (Concatenate)       (None, 13, 13, 512)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/squeeze1x1 (Conv2D)        (None, 13, 13, 64)    32832                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_squeeze1x1 (Activatio (None, 13, 13, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/expand1x1 (Conv2D)         (None, 13, 13, 256)   16640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire9/expand3x3 (Conv2D)         (None, 13, 13, 256)   147712                                       \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_expand1x1 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_expand3x3 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/concat (Concatenate)       (None, 13, 13, 512)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "drop9 (Dropout)                  (None, 13, 13, 512)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "conv10 (Conv2D)                  (None, 13, 13, 1000)  513000                                       \n",
      "____________________________________________________________________________________________________\n",
      "relu_conv10 (Activation)         (None, 13, 13, 1000)  0                                            \n",
      "____________________________________________________________________________________________________\n",
      "global_average_pooling2d_2 (Glob (None, 1000)          0                                            \n",
      "____________________________________________________________________________________________________\n",
      "loss (Activation)                (None, 1000)          0                                            \n",
      "====================================================================================================\n",
      "Total params: 1,235,496.0\n",
      "Trainable params: 1,235,496.0\n",
      "Non-trainable params: 0.0\n",
      "____________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# This is the full model layers.\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<keras.layers.core.Activation object at 0x7f41b00dc590>\n",
      "<keras.layers.pooling.GlobalAveragePooling2D object at 0x7f41b0111590>\n",
      "<keras.layers.core.Activation object at 0x7f41b0183a10>\n",
      "<keras.layers.convolutional.Conv2D object at 0x7f41b01abad0>\n"
     ]
    }
   ],
   "source": [
    "# We don't want to use the last layer, so we'll pop() off the 1) loss, 2) pooling, 3) relu, 4) conv10, 5) dropout layers.\n",
    "num_layers_to_pop = 5\n",
    "for idx in range(num_layers_to_pop):\n",
    "    print(model.layers.pop())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<keras.layers.core.Dropout at 0x7f41b0145dd0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.layers.pop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "input_4 (InputLayer)             (None, 227, 227, 3)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "conv1 (Conv2D)                   (None, 113, 113, 64)  1792                                         \n",
      "____________________________________________________________________________________________________\n",
      "relu_conv1 (Activation)          (None, 113, 113, 64)  0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool1 (MaxPooling2D)             (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/squeeze1x1 (Conv2D)        (None, 56, 56, 16)    1040                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_squeeze1x1 (Activatio (None, 56, 56, 16)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/expand1x1 (Conv2D)         (None, 56, 56, 64)    1088                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/expand3x3 (Conv2D)         (None, 56, 56, 64)    9280                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_expand1x1 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/relu_expand3x3 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire2/concat (Concatenate)       (None, 56, 56, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/squeeze1x1 (Conv2D)        (None, 56, 56, 16)    2064                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_squeeze1x1 (Activatio (None, 56, 56, 16)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/expand1x1 (Conv2D)         (None, 56, 56, 64)    1088                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/expand3x3 (Conv2D)         (None, 56, 56, 64)    9280                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_expand1x1 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/relu_expand3x3 (Activation (None, 56, 56, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire3/concat (Concatenate)       (None, 56, 56, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool3 (MaxPooling2D)             (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/squeeze1x1 (Conv2D)        (None, 27, 27, 32)    4128                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_squeeze1x1 (Activatio (None, 27, 27, 32)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/expand1x1 (Conv2D)         (None, 27, 27, 128)   4224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire4/expand3x3 (Conv2D)         (None, 27, 27, 128)   36992                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_expand1x1 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/relu_expand3x3 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire4/concat (Concatenate)       (None, 27, 27, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/squeeze1x1 (Conv2D)        (None, 27, 27, 32)    8224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_squeeze1x1 (Activatio (None, 27, 27, 32)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/expand1x1 (Conv2D)         (None, 27, 27, 128)   4224                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire5/expand3x3 (Conv2D)         (None, 27, 27, 128)   36992                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_expand1x1 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/relu_expand3x3 (Activation (None, 27, 27, 128)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire5/concat (Concatenate)       (None, 27, 27, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "pool5 (MaxPooling2D)             (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/squeeze1x1 (Conv2D)        (None, 13, 13, 48)    12336                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_squeeze1x1 (Activatio (None, 13, 13, 48)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/expand1x1 (Conv2D)         (None, 13, 13, 192)   9408                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire6/expand3x3 (Conv2D)         (None, 13, 13, 192)   83136                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_expand1x1 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/relu_expand3x3 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire6/concat (Concatenate)       (None, 13, 13, 384)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/squeeze1x1 (Conv2D)        (None, 13, 13, 48)    18480                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_squeeze1x1 (Activatio (None, 13, 13, 48)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/expand1x1 (Conv2D)         (None, 13, 13, 192)   9408                                         \n",
      "____________________________________________________________________________________________________\n",
      "fire7/expand3x3 (Conv2D)         (None, 13, 13, 192)   83136                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_expand1x1 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/relu_expand3x3 (Activation (None, 13, 13, 192)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire7/concat (Concatenate)       (None, 13, 13, 384)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/squeeze1x1 (Conv2D)        (None, 13, 13, 64)    24640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_squeeze1x1 (Activatio (None, 13, 13, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/expand1x1 (Conv2D)         (None, 13, 13, 256)   16640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire8/expand3x3 (Conv2D)         (None, 13, 13, 256)   147712                                       \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_expand1x1 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/relu_expand3x3 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire8/concat (Concatenate)       (None, 13, 13, 512)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/squeeze1x1 (Conv2D)        (None, 13, 13, 64)    32832                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_squeeze1x1 (Activatio (None, 13, 13, 64)    0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/expand1x1 (Conv2D)         (None, 13, 13, 256)   16640                                        \n",
      "____________________________________________________________________________________________________\n",
      "fire9/expand3x3 (Conv2D)         (None, 13, 13, 256)   147712                                       \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_expand1x1 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/relu_expand3x3 (Activation (None, 13, 13, 256)   0                                            \n",
      "____________________________________________________________________________________________________\n",
      "fire9/concat (Concatenate)       (None, 13, 13, 512)   0                                            \n",
      "====================================================================================================\n",
      "Total params: 722,496.0\n",
      "Trainable params: 722,496.0\n",
      "Non-trainable params: 0.0\n",
      "____________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "model.save_weights('../weights/squeezenet_weights_tf_dim_ordering_tf_kernels_notop.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>include_top Checks</h1>\n",
    "<p>Check if include_top flag now works</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from keras.utils import get_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://github.com/jeremykawahara/keras-squeezenet/raw/master/weights/squeezenet_weights_tf_dim_ordering_tf_kernels_notop.h5\n"
     ]
    }
   ],
   "source": [
    "model = SqueezeNet(include_top=False, weights='imagenet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "out = model.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 13, 13, 512)\n"
     ]
    }
   ],
   "source": [
    "print(out.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f416aaaab10>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f416ab8e610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(np.squeeze(out[0,:,:,102])); plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "model = SqueezeNet(include_top=False, weights='imagenet', pooling='avg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 512)\n"
     ]
    }
   ],
   "source": [
    "out = model.predict(x)\n",
    "print(out.shape)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2.0
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}